Search Results - Dynamic multiple-objective linear programming

Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm

Authors: Han Wang Qingfeng Zhuge Edwin Hsing-Mean Sha et al.

Source: Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3668-3694 (2024)

Subject Terms: dynamic programming, automated test paper design, multiple objectives optimization, 4. Education, 05 social sciences, linear programming, 02 engineering and technology, genetic algorithm, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, 0503 education, TP248.13-248.65, Mathematics, Biotechnology

Access URL: https://pubmed.ncbi.nlm.nih.gov/38549301
https://doaj.org/article/03b4495324894017a2c4b9ffd832bc0f

Dynamic layout design for scalable reconfigurable manufacturing systems.

Authors: Saffar, Fatemeh Moghaddam, Shokraneh K. Huang, Sihan

Source: International Journal of Production Research; Sep2025, Vol. 63 Issue 17, p6530-6552, 23p

Subject Terms: SCALABILITY, MIXED integer linear programming, BUILDING layout, RESOURCE management, RESOURCE allocation, FLEXIBLE manufacturing systems, PLANT layout

An Efficient Framework for Peer Selection in Dynamic P2P Network Using Q Learning with Fuzzy Linear Programming.

Authors: Anandaraj, Mahalingam Albalawi, Tahani Alkhatib, Mohammad

Source: Journal of Sensor & Actuator Networks; Apr2025, Vol. 14 Issue 2, p38, 33p

Subject Terms: REWARD (Psychology), LINEAR programming, REINFORCEMENT learning, FUZZY logic, PROBLEM solving

An Efficient Framework for Peer Selection in Dynamic P2P Network Using Q Learning with Fuzzy Linear Programming

Authors: Mahalingam Anandaraj Tahani Albalawi Mohammad Alkhatib

Source: Journal of Sensor and Actuator Networks, Vol 14, Iss 2, p 38 (2025)

Subject Terms: Erdos–Renyi model, fuzzy linear programming, Q learning, P2P network, Q table, reinforcement learning, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/2224-2708/14/2/38; https://doaj.org/toc/2224-2708

Access URL: https://doaj.org/article/0272510e6cf94d719d570f411e228bc2

Reactive tabu search and mixed-integer linear programming for multi-day assignment, scheduling, and routing problems of specialised education and home-care services.

Authors: Bou Saleh, Mira Chariete, Abderrahim Schwartz, Leo et al.

Source: International Journal of Production Research; Mar2025, Vol. 63 Issue 5, p1779-1802, 24p

Subject Terms: HOME care services, LINEAR programming, METAHEURISTIC algorithms, OVERTIME, ALGORITHMS

Multi-Objective Rolling Linear-Programming-Model-Based Predictive Control for V2G-Enabled Electric Vehicle Scheduling in Industrial Park Microgrids.

Authors: Luo, Tianlu Huang, Feipeng Zhou, Houke et al.

Source: Processes; Nov2025, Vol. 13 Issue 11, p3421, 18p

Subject Terms: LINEAR programming, MICROGRIDS, ELECTRIC vehicle industry, PHOTOVOLTAIC power generation, MULTI-objective optimization, PREDICTIVE control systems, PEAK load, SMART power grids

Constrained Undiscounted Stochastic Dynamic Programming

Authors: Hordijk, A. Kallenberg, L. C. M.

Source: Mathematics of Operations Research, 1984 May 01. 9(2), 276-289.

Access URL: https://www.jstor.org/stable/3689253

Optimal Vehicle-to-Grid Charge Scheduling for Electric Vehicles Based on Dynamic Programming.

Authors: Lee, Heeyun Kim, Hyunjoong Kim, Hyewon et al.

Source: Energies (19961073); Mar2025, Vol. 18 Issue 5, p1109, 15p

Subject Terms: ELECTRIC charge, ELECTRIC vehicle batteries, LINEAR programming, DYNAMIC programming, ELECTRIC vehicle charging stations

Optimizing Multimodal Logistics in Petroleum Supply Chains Using Linear Goal Programming: A Case Study on South Pars Gas Field Development.

Authors: Pervukhin, D. A. Davardoost, H. Gasimov, E. et al.

Source: International Journal of Engineering Transactions B: Applications; Aug2025, Vol. 38 Issue 8, p1909-1921, 13p

Subject Terms: SUPPLY chain management, MULTI-objective optimization, TRANSPORTATION planning, GOAL programming, LINEAR programming

A robust LP-based approach for a dynamic surgical case scheduling problem with sterilisation constraints.

Authors: Al Hasan, H. Guéret, C. Lemoine, D. et al.

Source: International Journal of Production Research; Aug2024, Vol. 62 Issue 16, p5925-5944, 20p

Subject Terms: MIXED integer linear programming, SURGERY, SURGICAL instruments, SCHEDULING

Geographic Terms: ANGERS (France), FRANCE

Static and Dynamic Assignment Models with Multiple Objectives, and Some Remarks on Organization Design

Authors: Charnes, A. Cooper, W. W. Niehaus, R. J. et al.

Source: Management Science, 1969 Apr 01. 15(8), B365-B375.

Access URL: https://www.jstor.org/stable/2628592

Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario.

Authors: Wei, Jianying Liu, Yuming Lu, Xiaochun et al.

Source: Systems; Mar2025, Vol. 13 Issue 3, p168, 32p

Subject Terms: LINEAR programming, WORKING hours, RAILROAD tunnels, MATHEMATICAL models, DYNAMIC models, SCHEDULING

Scheduling parallel mixed-model assembly lines with cross-line item transfers.

Authors: Bukchin, Yossi Khmelnitsky, Eugene

Source: International Journal of Production Research; Nov2025, Vol. 63 Issue 21, p7980-7997, 18p

Subject Terms: SCHEDULING, MIXED integer linear programming, MARKOV processes, COST functions, ASSEMBLY line methods

A bi-objective optimisation model for the drone scheduling problem in island delivery.

Authors: Yang, Ying Liu, Jiaxin Wang, Shuaian

Source: International Journal of Production Research; Oct2025, Vol. 63 Issue 19, p7174-7195, 22p

Subject Terms: MULTI-objective optimization, MIXED integer linear programming, SCHEDULING, DRONE aircraft delivery, ENERGY consumption, DELIVERY of goods

Multi-Objective Mixed-Integer Linear Programming for Dynamic Fleet Scheduling, Multi-Modal Transport Optimization, and Risk-Aware Logistics.

Authors: Mohamed Alshabibi, Nawaf Matar, Al-Hussein H. Abdelati, Mohamed

Source: Sustainability (2071-1050); May2025, Vol. 17 Issue 10, p4707, 16p

Service Management of Employee Shuttle Service Under Inhomogeneous Fleet Constraints Using Dynamic Linear Programming: A Case Study.

Authors: Aydin, Metin Mutlu Sokolovskij, Edgar Jaskowski, Piotr et al.

Source: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p4604, 27p

Subject Terms: INDUSTRIAL management, OPERATING costs, COST control, TRAFFIC density, FUEL costs

Constructing the set of efficient objective values in linear multiple objective transportation problems

Authors: Richard J. Gallagher Ossama A. Saleh

Source: European Journal of Operational Research. 73:150-163

Subject Terms: forward dynamic programming, Linear programming, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.), Dynamic programming, Multi-objective and goal programming, multiple objective transportation

File Description: application/xml

Access URL: https://zbmath.org/611339
https://doi.org/10.1016/0377-2217(94)90154-6
https://EconPapers.repec.org/RePEc:eee:ejores:v:73:y:1994:i:1:p:150-163
https://www.sciencedirect.com/science/article/pii/0377221794901546#!
https://ideas.repec.org/a/eee/ejores/v73y1994i1p150-163.html
https://www.sciencedirect.com/science/article/abs/pii/0377221794901546

Probability-Constrained Path Planning for UAV Logistics Using Mixed Integer Linear Programming.

Authors: Chen, Zhongxiang Wang, Shengchun Chen, Kaige et al.

Source: Modelling; Sep2025, Vol. 6 Issue 3, p82, 20p

Subject Terms: MIXED integer linear programming, LOGISTICS, MATHEMATICAL optimization, ROBOTIC path planning, DRONE aircraft, OPTIMIZATION algorithms, OPTIMIZERS (Computer software), CONSTRAINED optimization

Multi-criteria branch and bound: A vector maximization algorithm for Mixed 0-1 Multiple Objective Linear Programming

Authors: Mavrotas, G. Diakoulaki, D.

Source: Applied Mathematics & Computation. Dec2005, Vol. 171 Issue 1, p53-71. 19p.

Subject Terms: *MATHEMATICAL programming, *DYNAMIC programming, *NONLINEAR programming, *LINEAR programming

Multi-objective optimization with integer linear programming: A case study of garment industry.

Authors: Gulia, Pinki Kumar, Rakesh Sharma, Arvind et al.

Source: AIP Conference Proceedings; 2025, Vol. 3185 Issue 1, p1-7, 7p

Subject Terms: MULTI-objective optimization, CLOTHING industry, PRODUCTION planning, PRODUCTION scheduling, LEAD time (Supply chain management), LINEAR programming, INTEGER programming